News
SpaceX targeting five East Coast Falcon launches in first month of 2022
In a new statement focused on Cape Canaveral’s “exceptionally busy” 2022 schedule, a senior US Space Force (formerly Air Force) official has implied that SpaceX is already targeting five East Coast launches in the first month of the new year.
While the director didn’t specifically state who is launching, they did confirm that “seven total launches” are scheduled out of Cape Canaveral facilities (including NASA’s Kennedy Space Center) in January 2022 – five to “polar” orbits and two to more traditional semi-equatorial inclinations. While most of the “polar” launches referred to are likely not actually polar under the definition of launching satellites that will more or less orbit the Earth’s poles, the phrase still all but guarantees that five of those planned launches are Falcon 9 rockets.
The news cuts both ways, though, as it also strongly implies that SpaceX’s first Falcon Heavy launch in more than two and a half years will have to wait until February 2022 at the earliest.
Of the seven launches the Cape Canaveral Space Force Station (CCSFS) operations director says are targeted for January 2022, public schedules indicate with confidence that two are non-SpaceX. A United Launch Alliance (ULA) Atlas V rocket appears to remain on track to launch the Space Force’s USSF-8 mission – a pair of geostationary surveillance satellites for the US military – no earlier than January 21st. Additionally, while delays are likely, startup Astra revealed plans last month to attempt its first Cape Canaveral ‘Rocket 3’ launch in January 2022.
Beyond those two missions, there is no evidence of other non-SpaceX launches planned this month, which implies that SpaceX is responsible for all five other missions. Delays are obviously possible but SpaceX has already repeatedly demonstrated the ability to complete four East Coast launches in less than a month.
Up first, SpaceX is scheduled to start another potentially record-breaking year of launches with its Starlink 4-5 mission, which is on track to lift off no earlier than (NET) 4:49 pm EST (21:49 UTC) on Thursday, January 6th. NET 10:25 am EST (15:25 UTC), January 13th, another Falcon 9 rocket is scheduled to launch SpaceX’s third dedicated rideshare mission (Transporter-3), sending another batch of several dozen small satellites to orbit. SpaceX’s last confirmed launch of the month is Italy’s CSG-2 Earth observation satellite, which is scheduled to fly on another Falcon 9 rocket as early as late January. Two are headed to actual semi-polar orbits, while Starlink 4-5 is targeting a 53.2-degree orbital inclination – far from polar but still requiring Falcon 9 to launch to the southeast.
That leaves room for two more Starlink launches to hit the USSF’s estimate five “polar” missions – if SpaceX can manage the feat. Based on SpaceX’s record LC-40 and LC-39A turnaround times, beginning launches on January 6th ramps up the difficulty but doesn’t make five launches impossible. Assuming SpaceX can repeatedly turn both LC-40 and LC-39A around in ~10 days, SpaceX could theoretically launch Starlink 4-5 on 1/6 (39A), Transporter-3 on 1/13 (LC-40), Starlink x-x on 1/16 (39A), CSG-2 on 1/23 (LC-40), and Starlink x-x on 1/26. Technically, CSG-2 could launch anytime after Jan 22nd or 23rd and the third hypothetical Starlink mission could also tolerate up to five days of delays before it would slip into February.
Finally, depending on how strong Starlink V1.5 production is, SpaceX’s West Coast Vandenberg facilities could technically support one launch this month. It’s also possible that SpaceX will hold off on internal missions to ensure pad readiness for the US military’s NROL-87 Falcon 9 launch – scheduled NET February 2nd, 2022 as of four months ago.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
